virtualshell


Namevirtualshell JSON
Version 1.1.2 PyPI version JSON
download
home_pageNone
SummaryHigh-performance PowerShell bridge (C++ pybind11 backend)
upload_time2025-10-23 20:47:52
maintainerNone
docs_urlNone
authorKim-Andre Myrvold
requires_python>=3.8
licenseApache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. "License" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. "Licensor" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License. "Legal Entity" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, "control" means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity. "You" (or "Your") shall mean an individual or Legal Entity exercising permissions granted by this License. "Source" form shall mean the preferred form for making modifications, including but not limited to software source code, documentation source, and configuration files. "Object" form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation, and conversions to other media types. "Work" shall mean the work of authorship, whether in Source or Object form, made available under the License, as indicated by a copyright notice that is included in or attached to the work (an example is provided in the Appendix below). "Derivative Works" shall mean any work, whether in Source or Object form, that is based on (or derived from) the Work and for which the editorial revisions, annotations, elaborations, or other modifications represent, as a whole, an original work of authorship. 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While redistributing the Work or Derivative Works thereof, You may choose to offer, and charge a fee for, acceptance of support, warranty, indemnity, or other liability obligations and/or rights consistent with this License. However, in accepting such obligations, You may act only on Your own behalf and on Your sole responsibility, not on behalf of any other Contributor, and only if You agree to indemnify, defend, and hold each Contributor harmless for any liability incurred by, or claims asserted against, such Contributor by reason of your accepting any such warranty or additional liability. END OF TERMS AND CONDITIONS APPENDIX: How to apply the Apache License to your work. To apply the Apache License to your work, attach the following boilerplate notice, with the fields enclosed by brackets "[]" replaced with your own identifying information. (Don't include the brackets!) The text should be enclosed in the appropriate comment syntax for the file format. We also recommend that a file or class name and description of purpose be included on the same "printed page" as the copyright notice for easier identification within third-party archives. Copyright 2025 Kim-Andre Myrvold Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
keywords powershell automation shell cpp pybind11
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            # virtualshell

High-performance PowerShell automation for Python. `virtualshell` keeps a single PowerShell host warm and exposes it through a thin Python wrapper backed by a C++ engine. The result: millisecond-scale latency, async execution, and session persistence without juggling subprocesses.

> Full documentation now lives in the [project wiki](https://github.com/Chamoswor/virtualshell/wiki). This README gives you the essentials and quick links.

---

## Why virtualshell?

- **Persistent session** – reuse modules, `$env:*`, and functions between calls.
- **Low latency** – avoid the 200+ ms penalty of `subprocess.run("pwsh")`; most commands settle in ~2-4 ms.
- **Async + batching** – schedule commands concurrently or in batches with strong timeout control.
- **Structured results** – every invocation returns stdout/stderr, exit code, success flag, and timing.
- **Predictable failures** – typed Python exceptions for “pwsh missing”, timeouts, and execution errors.
- **Type-safe automation** – generate Python `Protocol`s from PowerShell objects and create live proxies with full type hints.

Typical users embed PowerShell inside Python orchestration, long-running agents, or test suites that need reliability and speed.
---

## Installation

```bash
pip install virtualshell
```

Pre-built wheels are published for Windows, Linux (x86_64/aarch64), and macOS universal2. PowerShell (`pwsh` or `powershell.exe`) must be discoverable on `PATH` unless you pass an explicit path.

---

## Quick start

```python
from virtualshell import Shell

with Shell(timeout_seconds=5) as sh:
    result = sh.run("Write-Output 'Hello from pwsh'")
    print(result.out.strip())

    sh.run("function Inc { $global:i++; $global:i }")
    print(sh.run("Inc").out.strip())  # 1
    print(sh.run("Inc").out.strip())  # 2
```

### Async execution

```python
from virtualshell import Shell
import asyncio

async def main():
    shell = Shell().start()
    fut = shell.run_async("Get-Date")
    res = await asyncio.wrap_future(fut)
    print(res.out.strip())
    shell.stop()

asyncio.run(main())
```


### Scripts and arguments

```python
from pathlib import Path
from virtualshell import Shell

shell = Shell().start()

# Positional arguments
shell.script(Path("./scripts/test.ps1"), args=["alpha", "42"])

# Named arguments (hashtable splatting)
shell.script(
    Path("./scripts/test.ps1"),
    args={"Name": "Alice", "Count": "3"},
)

shell.stop()
```

Every API surface (sync/async/script) accepts `timeout` overrides and optional error raising via `raise_on_error` or callbacks.

---

## PowerShell object proxies

`Shell.generate_psobject` reflects a PowerShell object into a Python `Protocol`, while `Shell.make_proxy` creates a live proxy that forwards attribute access back into PowerShell. Together they give you IDE-friendly, type-hinted automation.

```python
from virtualshell import Shell
from StreamWriter import StreamWriter  # generated via Shell().generate_psobject
from StreamReader import StreamReader

with Shell(strip_results=True, timeout_seconds=60) as sh:
    proxy_writer: StreamWriter = sh.make_proxy("StreamWriterProxy", "System.IO.StreamWriter('test.txt')") # type-hinted proxy (StreamWriter made via generate_psobject)

    proxy_writer.WriteLine("Test Line 1!")
    proxy_writer.WriteLine("Test Line 2!")
    proxy_writer.WriteLine("Test Line 3!")
    proxy_writer.Flush()
    proxy_writer.Close()

    proxy_reader: StreamReader = sh.make_proxy("StreamReaderProxy", "System.IO.StreamReader('test.txt')")

    while not proxy_reader.EndOfStream:
        print(f"Read: {proxy_reader.ReadLine()}")
```

Detailed guides live in the wiki: [generate_psobject](wiki/Usage/generate_psobject.md) and [make_proxy](wiki/Usage/make_proxy.md).

---

## Core API overview

| Method | Purpose |
| --- | --- |
| `Shell.run(cmd, *, timeout=None, raise_on_error=False)` | Execute a single command synchronously. |
| `Shell.run_async(cmd, *, callback=None, timeout=None)` | Schedule a command; returns a `concurrent.futures.Future`. |
| `Shell.script(path, args=None, *, timeout=None, dot_source=False, raise_on_error=False)` | Execute `.ps1` files with positional or named arguments. |
| `Shell.script_async(...)` | Async counterpart of `script`. |
| `Shell.save_session()` | Persist the current session to an XML snapshot. |
| `Shell.pwsh(text)` | Safely echo a literal PowerShell string (auto quoting). |

More helpers live in the wiki, including session restore, batching, and diagnostic tips.

---

## Configuration

```python
from virtualshell import Shell

shell = Shell(
    powershell_path="C:/Program Files/PowerShell/7/pwsh.exe",
    working_directory="C:/automation",
    environment={"MY_FLAG": "1"},
    initial_commands=[
        "$ErrorActionPreference = 'Stop'",
        "$ProgressPreference = 'SilentlyContinue'",
    ],
    timeout_seconds=10,
    auto_restart_on_timeout=True,
)

shell.start()
```

Configuration is applied before the process starts. You can inspect or replace it later with `shell._core.get_config()` or rebuild the shell.

---

## Performance

Up-to-date benchmark artefacts (`bench.json`, `bench.csv`) and analysis live in [wiki/Project/Benchmarks.md](wiki/Project/Benchmarks.md). Headline numbers from the latest run (Windows 11, Python 3.13):

- Sequential commands: ~3.5 ms average
- Batch commands: ~3.2 ms per command
- Async latency: ~1.9–2.4 ms with 50 outstanding tasks
- Session save: ~0.30 s median

See the wiki for charts and methodology.

---

## Building from source

Dependencies:

- Python 3.8+
- CMake 3.20+
- A C++17 compiler (MSVC, Clang, or GCC)
- `scikit-build-core`, `pybind11`

```bash
python -m pip install -U build
python -m build
python -m pip install dist/virtualshell-*.whl
```

---

## Learn more

- [Usage guides](wiki/Usage)
- [Performance tips](wiki/Usage/Performance%20Tips.md)
- [Benchmarks](wiki/Project/Benchmarks.md)

Bug reports and feature requests are welcome via issues or discussions.

---

Licensed under the Apache 2.0 license. See [LICENSE](LICENSE).

            

Raw data

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    "keywords": "powershell, automation, shell, cpp, pybind11",
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    "download_url": "https://files.pythonhosted.org/packages/a1/f6/5cfe34ae40cd28b249b15b4d5db71b5d5d5e605d2e218f96ff6b32aff76d/virtualshell-1.1.2.tar.gz",
    "platform": null,
    "description": "# virtualshell\n\nHigh-performance PowerShell automation for Python. `virtualshell` keeps a single PowerShell host warm and exposes it through a thin Python wrapper backed by a C++ engine. The result: millisecond-scale latency, async execution, and session persistence without juggling subprocesses.\n\n> Full documentation now lives in the [project wiki](https://github.com/Chamoswor/virtualshell/wiki). This README gives you the essentials and quick links.\n\n---\n\n## Why virtualshell?\n\n- **Persistent session** \u2013 reuse modules, `$env:*`, and functions between calls.\n- **Low latency** \u2013 avoid the 200+ ms penalty of `subprocess.run(\"pwsh\")`; most commands settle in ~2-4 ms.\n- **Async + batching** \u2013 schedule commands concurrently or in batches with strong timeout control.\n- **Structured results** \u2013 every invocation returns stdout/stderr, exit code, success flag, and timing.\n- **Predictable failures** \u2013 typed Python exceptions for \u201cpwsh missing\u201d, timeouts, and execution errors.\n- **Type-safe automation** \u2013 generate Python `Protocol`s from PowerShell objects and create live proxies with full type hints.\n\nTypical users embed PowerShell inside Python orchestration, long-running agents, or test suites that need reliability and speed.\n---\n\n## Installation\n\n```bash\npip install virtualshell\n```\n\nPre-built wheels are published for Windows, Linux (x86_64/aarch64), and macOS universal2. PowerShell (`pwsh` or `powershell.exe`) must be discoverable on `PATH` unless you pass an explicit path.\n\n---\n\n## Quick start\n\n```python\nfrom virtualshell import Shell\n\nwith Shell(timeout_seconds=5) as sh:\n    result = sh.run(\"Write-Output 'Hello from pwsh'\")\n    print(result.out.strip())\n\n    sh.run(\"function Inc { $global:i++; $global:i }\")\n    print(sh.run(\"Inc\").out.strip())  # 1\n    print(sh.run(\"Inc\").out.strip())  # 2\n```\n\n### Async execution\n\n```python\nfrom virtualshell import Shell\nimport asyncio\n\nasync def main():\n    shell = Shell().start()\n    fut = shell.run_async(\"Get-Date\")\n    res = await asyncio.wrap_future(fut)\n    print(res.out.strip())\n    shell.stop()\n\nasyncio.run(main())\n```\n\n\n### Scripts and arguments\n\n```python\nfrom pathlib import Path\nfrom virtualshell import Shell\n\nshell = Shell().start()\n\n# Positional arguments\nshell.script(Path(\"./scripts/test.ps1\"), args=[\"alpha\", \"42\"])\n\n# Named arguments (hashtable splatting)\nshell.script(\n    Path(\"./scripts/test.ps1\"),\n    args={\"Name\": \"Alice\", \"Count\": \"3\"},\n)\n\nshell.stop()\n```\n\nEvery API surface (sync/async/script) accepts `timeout` overrides and optional error raising via `raise_on_error` or callbacks.\n\n---\n\n## PowerShell object proxies\n\n`Shell.generate_psobject` reflects a PowerShell object into a Python `Protocol`, while `Shell.make_proxy` creates a live proxy that forwards attribute access back into PowerShell. Together they give you IDE-friendly, type-hinted automation.\n\n```python\nfrom virtualshell import Shell\nfrom StreamWriter import StreamWriter  # generated via Shell().generate_psobject\nfrom StreamReader import StreamReader\n\nwith Shell(strip_results=True, timeout_seconds=60) as sh:\n    proxy_writer: StreamWriter = sh.make_proxy(\"StreamWriterProxy\", \"System.IO.StreamWriter('test.txt')\") # type-hinted proxy (StreamWriter made via generate_psobject)\n\n    proxy_writer.WriteLine(\"Test Line 1!\")\n    proxy_writer.WriteLine(\"Test Line 2!\")\n    proxy_writer.WriteLine(\"Test Line 3!\")\n    proxy_writer.Flush()\n    proxy_writer.Close()\n\n    proxy_reader: StreamReader = sh.make_proxy(\"StreamReaderProxy\", \"System.IO.StreamReader('test.txt')\")\n\n    while not proxy_reader.EndOfStream:\n        print(f\"Read: {proxy_reader.ReadLine()}\")\n```\n\nDetailed guides live in the wiki: [generate_psobject](wiki/Usage/generate_psobject.md) and [make_proxy](wiki/Usage/make_proxy.md).\n\n---\n\n## Core API overview\n\n| Method | Purpose |\n| --- | --- |\n| `Shell.run(cmd, *, timeout=None, raise_on_error=False)` | Execute a single command synchronously. |\n| `Shell.run_async(cmd, *, callback=None, timeout=None)` | Schedule a command; returns a `concurrent.futures.Future`. |\n| `Shell.script(path, args=None, *, timeout=None, dot_source=False, raise_on_error=False)` | Execute `.ps1` files with positional or named arguments. |\n| `Shell.script_async(...)` | Async counterpart of `script`. |\n| `Shell.save_session()` | Persist the current session to an XML snapshot. |\n| `Shell.pwsh(text)` | Safely echo a literal PowerShell string (auto quoting). |\n\nMore helpers live in the wiki, including session restore, batching, and diagnostic tips.\n\n---\n\n## Configuration\n\n```python\nfrom virtualshell import Shell\n\nshell = Shell(\n    powershell_path=\"C:/Program Files/PowerShell/7/pwsh.exe\",\n    working_directory=\"C:/automation\",\n    environment={\"MY_FLAG\": \"1\"},\n    initial_commands=[\n        \"$ErrorActionPreference = 'Stop'\",\n        \"$ProgressPreference = 'SilentlyContinue'\",\n    ],\n    timeout_seconds=10,\n    auto_restart_on_timeout=True,\n)\n\nshell.start()\n```\n\nConfiguration is applied before the process starts. You can inspect or replace it later with `shell._core.get_config()` or rebuild the shell.\n\n---\n\n## Performance\n\nUp-to-date benchmark artefacts (`bench.json`, `bench.csv`) and analysis live in [wiki/Project/Benchmarks.md](wiki/Project/Benchmarks.md). Headline numbers from the latest run (Windows 11, Python 3.13):\n\n- Sequential commands: ~3.5 ms average\n- Batch commands: ~3.2 ms per command\n- Async latency: ~1.9\u20132.4 ms with 50 outstanding tasks\n- Session save: ~0.30 s median\n\nSee the wiki for charts and methodology.\n\n---\n\n## Building from source\n\nDependencies:\n\n- Python 3.8+\n- CMake 3.20+\n- A C++17 compiler (MSVC, Clang, or GCC)\n- `scikit-build-core`, `pybind11`\n\n```bash\npython -m pip install -U build\npython -m build\npython -m pip install dist/virtualshell-*.whl\n```\n\n---\n\n## Learn more\n\n- [Usage guides](wiki/Usage)\n- [Performance tips](wiki/Usage/Performance%20Tips.md)\n- [Benchmarks](wiki/Project/Benchmarks.md)\n\nBug reports and feature requests are welcome via issues or discussions.\n\n---\n\nLicensed under the Apache 2.0 license. See [LICENSE](LICENSE).\n",
    "bugtrack_url": null,
    "license": "Apache License\n                                    Version 2.0, January 2004\n                                 http://www.apache.org/licenses/\n         \n            TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION\n         \n            1. Definitions.\n         \n               \"License\" shall mean the terms and conditions for use, reproduction,\n               and distribution as defined by Sections 1 through 9 of this document.\n         \n               \"Licensor\" shall mean the copyright owner or entity authorized by\n               the copyright owner that is granting the License.\n         \n               \"Legal Entity\" shall mean the union of the acting entity and all\n               other entities that control, are controlled by, or are under common\n               control with that entity. For the purposes of this definition,\n               \"control\" means (i) the power, direct or indirect, to cause the\n               direction or management of such entity, whether by contract or\n               otherwise, or (ii) ownership of fifty percent (50%) or more of the\n               outstanding shares, or (iii) beneficial ownership of such entity.\n         \n               \"You\" (or \"Your\") shall mean an individual or Legal Entity\n               exercising permissions granted by this License.\n         \n               \"Source\" form shall mean the preferred form for making modifications,\n               including but not limited to software source code, documentation\n               source, and configuration files.\n         \n               \"Object\" form shall mean any form resulting from mechanical\n               transformation or translation of a Source form, including but\n               not limited to compiled object code, generated documentation,\n               and conversions to other media types.\n         \n               \"Work\" shall mean the work of authorship, whether in Source or\n               Object form, made available under the License, as indicated by a\n               copyright notice that is included in or attached to the work\n               (an example is provided in the Appendix below).\n         \n               \"Derivative Works\" shall mean any work, whether in Source or Object\n               form, that is based on (or derived from) the Work and for which the\n               editorial revisions, annotations, elaborations, or other modifications\n               represent, as a whole, an original work of authorship. For the purposes\n               of this License, Derivative Works shall not include works that remain\n               separable from, or merely link (or bind by name) to the interfaces of,\n               the Work and Derivative Works thereof.\n         \n               \"Contribution\" shall mean any work of authorship, including\n               the original version of the Work and any modifications or additions\n               to that Work or Derivative Works thereof, that is intentionally\n               submitted to Licensor for inclusion in the Work by the copyright owner\n               or by an individual or Legal Entity authorized to submit on behalf of\n               the copyright owner. For the purposes of this definition, \"submitted\"\n               means any form of electronic, verbal, or written communication sent\n               to the Licensor or its representatives, including but not limited to\n               communication on electronic mailing lists, source code control systems,\n               and issue tracking systems that are managed by, or on behalf of, the\n               Licensor for the purpose of discussing and improving the Work, but\n               excluding communication that is conspicuously marked or otherwise\n               designated in writing by the copyright owner as \"Not a Contribution.\"\n         \n               \"Contributor\" shall mean Licensor and any individual or Legal Entity\n               on behalf of whom a Contribution has been received by Licensor and\n               subsequently incorporated within the Work.\n         \n            2. Grant of Copyright License. Subject to the terms and conditions of\n               this License, each Contributor hereby grants to You a perpetual,\n               worldwide, non-exclusive, no-charge, royalty-free, irrevocable\n               copyright license to reproduce, prepare Derivative Works of,\n               publicly display, publicly perform, sublicense, and distribute the\n               Work and such Derivative Works in Source or Object form.\n         \n            3. Grant of Patent License. Subject to the terms and conditions of\n               this License, each Contributor hereby grants to You a perpetual,\n               worldwide, non-exclusive, no-charge, royalty-free, irrevocable\n               (except as stated in this section) patent license to make, have made,\n               use, offer to sell, sell, import, and otherwise transfer the Work,\n               where such license applies only to those patent claims licensable\n               by such Contributor that are necessarily infringed by their\n               Contribution(s) alone or by combination of their Contribution(s)\n               with the Work to which such Contribution(s) was submitted. If You\n               institute patent litigation against any entity (including a\n               cross-claim or counterclaim in a lawsuit) alleging that the Work\n               or a Contribution incorporated within the Work constitutes direct\n               or contributory patent infringement, then any patent licenses\n               granted to You under this License for that Work shall terminate\n               as of the date such litigation is filed.\n         \n            4. Redistribution. You may reproduce and distribute copies of the\n               Work or Derivative Works thereof in any medium, with or without\n               modifications, and in Source or Object form, provided that You\n               meet the following conditions:\n         \n               (a) You must give any other recipients of the Work or\n                   Derivative Works a copy of this License; and\n         \n               (b) You must cause any modified files to carry prominent notices\n                   stating that You changed the files; and\n         \n               (c) You must retain, in the Source form of any Derivative Works\n                   that You distribute, all copyright, patent, trademark, and\n                   attribution notices from the Source form of the Work,\n                   excluding those notices that do not pertain to any part of\n                   the Derivative Works; and\n         \n               (d) If the Work includes a \"NOTICE\" text file as part of its\n                   distribution, then any Derivative Works that You distribute must\n                   include a readable copy of the attribution notices contained\n                   within such NOTICE file, excluding those notices that do not\n                   pertain to any part of the Derivative Works, in at least one\n                   of the following places: within a NOTICE text file distributed\n                   as part of the Derivative Works; within the Source form or\n                   documentation, if provided along with the Derivative Works; or,\n                   within a display generated by the Derivative Works, if and\n                   wherever such third-party notices normally appear. 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